Data Science: Data Is Everywhere, Harness It!

Data Science

Data pours in from social media, weather stations, government agencies, mobile phones, credit card purchases, and other new devices continuously. How do you make sense of it all?

Learn how to harness the power of data to understand the world around you and make better decisions.  

Create impactful and persuasive presentations by learning the key principles of presenting data visually.

Coming from liberal arts background, the way information is portrayed and delivered to an audience is particularly important. This course can be beneficial to students from any academic background in the Information Age.

Joyce Rasing, Political Science, CLA ’14

I’ve always been fascinated by data and numbers. This course offers so much value to all students since it allows a student to understand and get hands-on experience with data and the many possible connections that arise.

Kevork Chouljian, Marketing, Fox ’18

Course details

  • Course name and number: Data Science | MIS0855
  • Spring 2017 sections
    • MIS 0855, section 001, TR 12:30 pm – 1:50 pm, CRN 25118, Laurel Miller
    • MIS 0855, section 002, M 5:30 pm – 8:00 pm, CRN  31072, Larry Dignan, Editor in Chief, ZDNet
    • MIS 0855, section, 003, MWF 9:00 am – 9:50 am, CRN 27702, TBA
    • MIS 0855, section 004, TR 3:30 pm – 4:50 pm, CRN  27703, Omar Mencin, Director, Ben Franklin Technology Partners
    • MIS 0855, section 005, MWF 2:00 pm – 2:50 pm, CRN  28039, Joseph Spagnoletti, Founder Spagnoletti & Associates & Former CIO, Campbell Soup Company
  • Pre-requisites: None. No technical background is required, you will get hands-on experience  with easily available software.  
  • Fulfills: GenEd Science and Technology Requirement (GS)

Course goals

  • Apply data to make better decisions
  • Locate data relevant to you
  • Make predictions about the future
  • Combine data sets to discover new insights
  • Differentiate good data from bad data
  • Master data visualization
  • Work with common, powerful tools like Tableau and Microsoft Excel
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